{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from matplotlib import pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#画布上画图\n",
    "plt.plot([1,2,3],[4,5,1])\n",
    "#在画布上显示\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "x = [5,2,7]\n",
    "y = [2,16,4]\n",
    "plt.plot(x,y)\n",
    "\n",
    "#图片的标题\n",
    "plt.title('image title')\n",
    "#坐标轴y轴\n",
    "plt.ylabel('y axis')\n",
    "#坐标轴x轴\n",
    "plt.xlabel('x axis')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from matplotlib import style\n",
    "\n",
    "style.use('ggplot')#使用主题\n",
    "\n",
    "x = [5,8,10]\n",
    "y = [12,16,6]\n",
    "x2 = [6,9,11]\n",
    "y2 = [6,15,7]\n",
    "\n",
    "plt.plot(x,y,'g',label='line one', linewidth=5)\n",
    "plt.plot(x2,y2,'r',label='line two',linewidth=5)\n",
    "plt.title('Epic Info')\n",
    "plt.ylabel('Y axis')\n",
    "plt.xlabel('X axis')\n",
    "\n",
    "#设置图例位置\n",
    "plt.legend()\n",
    "plt.grid(True,color='k')#网格线设置\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "条形图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar([0.25,1.25,2.25,3.25,4.25],[50,40,70,80,20],label=\"BMW\", color='b', width=.5)\n",
    "plt.bar([.75,1.75,2.75,3.75,4.75],[80,20,20,50,60],label=\"Audi\", color='r',width=.5)\n",
    "plt.legend()#图例显示\n",
    "plt.xlabel('Days')\n",
    "plt.ylabel('Distance (kms)')\n",
    "plt.title('Information')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "直方图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "population_age = [22,55,62,45,21,22,34,42,42,4,2,102,95,85,55,110,120,70,65,55,111,115,80,75,65,54,44,43,42,48]\n",
    "bins = [0,10,20,30,40,50,60,70,80,90,100]#横坐标轴区间\n",
    "plt.hist(population_age, bins, histtype='bar', color='b', rwidth=0.8)\n",
    "plt.xlabel('age groups')\n",
    "plt.ylabel('Number of people')\n",
    "plt.title('Histogram')\n",
    "plt.show()\n",
    "#区间内显示的在此区间内的数据的个数"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "散点图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#两组不同的点\n",
    "x = [1,1.5,2,2.5,3,3.5,3.6]\n",
    "y = [7.5,8,8.5,9,9.5,10,10.5]\n",
    "\n",
    "x1=[8,8.5,9,9.5,10,10.5,11]\n",
    "y1=[3,3.5,3.7,4,4.5,5,5.2]\n",
    "\n",
    "plt.scatter(x,y,label = 'high income low saving',color='r')\n",
    "plt.scatter(x1,y1,label='low income high savings',color='b')\n",
    "\n",
    "plt.xlabel('saving*100')\n",
    "plt.ylabel('income*1000')\n",
    "plt.title('Scatter Plot')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "面积图（堆栈图）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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hQ40mxJOps4UQook6ceIEK1euRFEUWrVqxRNPPGHTeiQUhBDChrp160ZsbKyty7CQjmYhhBAWEgpCCCEsJBSEEEJYSCgIIYSwkFAQQohqvP/++6xfv97y+oUXXmDJkiWW1x988EGNJ67LysrikUceuWT5sWPHWLVq1bUXW48kFIQQohphYWEkJCQAYDabKS4uJi0tzbI+MTGR8PDwq76PyWS67LrQ0FAefvjhay+2HlllSGpubi6xsbEUFhaiUqmIiopizJgxlJaW8s4775CTk4O3tzdPPPEEzs7O1ihJCNFEjB4zpsHb+OnHHy9ZFh4ezvvvvw/AqVOnCAgIID8/n5KSEnQ6Henp6XTs2JEPP/yQvXv3AjBp0iSGDh3K4cOH+fzzz3F3d+fkyZO88sorlvc9e/YsCxYsYObMmRgMBv7zn//w8ssv8+mnn5KTk0NmZiY5OTmMHTuWsWPHAuen6t66dSsBAQG4u7sTERHRYGFilVDQaDTcfffdBAcHo9frmTNnDhEREfzxxx90796d6Oho1q9fz/r167nrrrusUZIQQlyRp6cnGo2G7OxsEhMT6dKlC3l5eRw9ehQnJycCAwPZtWsXycnJLF++nOLiYmbNmkX37t0BSEpKYuXKlfj6+pKVlQVARkYGCxcu5IknnqBjx44cPny4Spt/ry8rK+Ohhx7i5ptv5uTJk2zfvp3PPvsMPz8/RowY0aB3elvl8pG7uzvBwcHA+Qmj2rVrR35+Pnv27GHo0KEADB06lD179lijHCGEqJHw8HASExNJTEwkLCzMcknp70tHCQkJ3HDDDWg0Gtzd3enWrRvHjh0DoHPnzvj6+lreq6ioiFdeeYWnn36ajh07Vtte3759sbOzw83NjdatW1NYWEhCQgL9+/dHp9Ph7OzMyJEjG/QzW/2O5uzsbFJSUujUqRNFRUW4u7sD54OjuLi42n3i4uKIi4sDzs+H4uXlVae2/562VgghaiIsLIzExERSU1MJCAjA29ubb775BicnJ0aNGsXBgwcvu6+Dg0OV105OTnh5eZGQkEBAQEC1+9jZ2Vn+Xa1WYzKZ+Ht6OrVabflftVqNVnv5r28HB4c6f09aNRQMBgMxMTFMnTr1ksmariQqKoqoqCjL69zc3Dq13wTn/hNC2FB4eDjffvstvr6+aDQaXFxcOHfuHGlpacycOROj0chPP/3EiBEjKC0t5ciRI0ybNo2MjIxL3svOzo6XXnqJF154AZ1Ox7Bhw2pUQ9euXVm2bBl6vZ5z586xceNG7rzzzitOjFdeXn7J92SjmxDPaDQSExPDkCFDLE8ocnNzo6CgAHd3dwoKCnB1dbVWOUKIJqK6TmBrCQwMpKioyHKZ++9ler0eNzc3Bg4cyNGjRy3Ta99///14eHhUGwoAOp2O+fPn8/zzz6PT6Wo0TXZoaCj9+vVj8uTJBAUF0aNHD1xcXOrnA1bDKlNnK4pCbGwszs7OTJ061bL83//+Ny4uLpaO5tLS0hp1NMvU2UI0fy1l6uya0Ov1BAQE4OnpydixY3nrrbcsHdrVafRTZyclJbFlyxb8/f15+umnAZg8eTLR0dG88847/P7773h5eTF79mxrlCOEEE3K0qVLOXv2LGazmfHjx18xEK6VPGRHCNEoyZlCVdZ6yI7c0SyEEMJCQkEIIYSFhIKolkqlwuPCPSRCiJZDHscpqugVGsp4Dw8mp6QQlJVFUtu2bG3blu1qNbtyczmamorZbLZ1mUKIBiKhIOjWsSPjfXyYfOoUoRdu0f9b5zNn6HzmDA9ceF3UqhV/BgWxzdmZnefOsTclhZLSUusXLYQV3HLLLQQGBmIymejQoQOzZ89Gp9Mxbty4Gk+bfbG8vDxWrVrF888/3wDV1g8JhRaqc0AA49u2ZVJGBt2SkyE5uUb7uZ07x81HjnDzhdcmlYpDgYH86ePDDrOZXZmZpFzmxh0hmhp7e3uWL18OwFtvvcWPP/7IuHHj6vx+np6ejToQQEKhRQlu357bO3RgcmYmvVJS4NSpa35PjaIQmZpKZGoqMy8sO+vhwRZ/f7brdOwsLORwSgqG8vJrbku0TGOsMHX2jzW4a7pr166kpqZWWabX63nllVcoLS3FaDRyzz33MGDAANasWYOrqyvR0dEAfPLJJ7Ru3Zr+/fszf/58Vq5cycaNG9m1axfl5eWcPXuWAQMGMG3aNAB++eUXvvrqKzw9PWnbti12dnbMnz+/vj92tSQUmrkOfn7cHhjI5OxsrktOBiv8ivfLz2difj4TL7wut7Njd2gof7q7s6Oykt1paWTVcf4qIWzBZDKxb98+evfuXWW5vb09L774Ik5OThQVFTF79mz69+/PjTfeyGuvvUZ0dDRms5nNmzezZMkS9Hp9lf1PnjzJsmXLsLOz48EHH+S2225DrVazdu1ali1bhqOjI3PnziUoKMhqn1VCoRlq6+PDP4KDmZyfz6Bjx+DsWZvW41BZyZBjxxhy0bITvr5sbdeO7Votu3JzSUhNveITqoSwhYqKCsu8Rl27dmXUqFFV1iuKwscff8yRI0dQq9Xk5eVRUFBAmzZtcHFxITk5mYKCAjp27Iirq+slodCjRw/L/Ef+/v5kZ2dTVFRE9+7dLfMbDR48mNOnT1vh054nodBM+Hh5MbZTJyYVFnLD0aOos7NtXdIVdcrMpFNmJvddeF3s5MT2oCC2ubiws6yMPampFF1mKnUhrOXiPoXqbNq0iaKiIpYuXYpWq2Xq1KlUVlYCcOONN7Jx40YKCgouCZO/VTdVtq1JKDRhHu7u3BYayqTSUqISEtA04UsyrmVl3BQfz00XXpuBwwEB/NmmDdsVhd2ZmSSnp9uyRCEuce7cOVq3bo1Wq+XQoUNkX/RjbODAgXz66aeYTCaeeeaZGr9naGgo77//PiUlJTg5ObFt2zYCAwMboPrqSSg0Ma1dXbm5Sxcm6fXcmJCA3a5dti6pQaiBnqdO0fPUKR69sCzbzY2tgYHsdnVla14eB06exGAw2LJMYQU16QS2lWHDhvHyyy8zc+ZMgoOD6dChg2WdnZ0dERERODs7o9FoavyeXl5eTJw4kSeeeAJPT0/8/f1rNMV2fZEJ8ZoA51atGBMWxsTKSm5OSMDhwulpS1eh1bI3KIg/PTzOd2BnZHCmkV82EzXX1CfEM5vNzJw5k7lz59KuXbta7avX63F0dMRkMvHqq68yatQooqOjrTIhnpwpNFKOjo7cFB7OBLOZsQkJOO7da+uSGh17o5GBx48z8KJlqT4+bO3QgT+1Wnbl5RGfmlqjPyIh6lNaWhrz589nwIABtQ4EgM8++4yDBw9SUVFBZGQkAwYMaIAqqyeh0IjoHByI6tqViSoV0fHxOO/bZ+uSmpzA7GwCs7O5+8LrUp2O7aGhbHN1ZYdez97UVAqKimxao2j+/P39+eijj+q8/wMPPHD1jRqIhIKN2dvbMzIignHA7YmJuO3fb+uSmhVng4FRCQn8PfbDDMR36MCfvr7sUKnYlZXF8bQ0eX53IyRzbNXdtfz3LKFgA1qtluvDw7nDwYEJSUl4yKUhq1ED3dPT6Z6eziMXluW5urI1MJBtTk7sLClhf0oKZWVltixTACdOnKBHjx6oVCpbl9KkGI1G1Oq6T4AtoWAlarWaQeHh3OHkxIRjx2hz+LCtSxIXeBYXE334MNEXXhvVavZ16sRWT092GI3sOn2a05mZNq2xJVq9ejUAnTp1uqYvueYiNDQUHx8fyq8wZYyiKKjVanQ6XZ3bkdFHDUilUtEvLIw7XFyYdOIEbfPyrNa2qF9p3t5s7dCBbXZ27Coo4K+UFMtNSkJYw4wZM1i8eDG5dbwfSUYf2VDv0FDu8PBgcnIy/gkJti5H1AP/nBzuzMnhzguv9Q4ObA8LY5ubGzsMBvacOkVeQYFNaxSiPkgo1JOITp0Y7+3N5NRUOv3PMwlE8+NYXs6IxERGXLQstV07kl1dSWvVinQ7O9LNZtLLyzldUsLpvDwKCgttVq8QNSWhcA3CgoIY7+vLlLQ0upw4ASdO2LokYUOBp08TeIWJy845OHDK25tTrVuT5uhIulZLhslEhsFARnExZ3Jz5YFFwuYkFGopxN+f29u1Y/KZM0SkpEBKiq1LEk1Eq/JywjMyCL/C9OWFzs6kenmR5up6PjhUKtJNJk7r9ZwuKuJ0To5M7SEalIRCDQS0bcvt/v5Mycqid0oKpKXZuiTRTLUuLaVnaSk9r7BNtpsbpzw9zweHgwPpajUZlZVklJVxurCQszk50gku6kxC4TLa+foyLiiIybm5DDh+HOo44kmI+uZTVIRPURF9L7PeDJzx9DwfHK1acdbZmZOVlWRUVJBx7hxnCgrIys2Vm8NEtSQULuLr7U10x45MLihgcFISahmbLpogNdA+L4/2eXkMusw2lRoN6W3acMrd/f87xoGM8nJOl5ZyOi+PvIICudO7BWrxoeDl4cHYkBAmlZQwLDERTU6OrUsSosHZmUwEZ2URnJV12W0M9vbnO8bd3EhzciJdqyVdUcgwGDhdUsKZ3FwK5UFIzU6LDAV3Nzdu7dyZiWVljEpIQNtMn0kgxLXQVVTQ+fRpOl9hRFWJoyOp3t6kubmd7xjXaM6PqNLrySgq4nRurkwZ0sS0qFAYHx5Ob3t7RsfHY797t63LEaLJc9Hr6Z6WRvcrbJPn6krq3x3jOt35jnGjkYTCQv46ftxqtYqaaVGhMD8hAXUTfMiOEE2ZZ3ExnsXF9K5m3b979+a5M2fIOHvW6nWJ6sksU0IIm7l73z6O5eczr39/nK34yElxeRIKQgibciwvZ/7OnRzV6bj7uutkRlQbk6MvhGgU2uXlsWb3bnYGBjK4a1dbl9NiSSgIIRqVvidPsjU+ni979SKofXtbl9PiWKWjecWKFezfvx83NzdiYmIAWLduHb/99huurq4ATJ48mcjISGuUI4RoAiYcOEC0Vsvi/v1ZmJBAkdwTYRVWCYUbbriBm266idjY2CrLb775Zm677TZrlCCEaILsjUbm7NzJ/W5uPN+vHx/v24fRaLR1Wc2aVS4fhYeH4+zsbI2mhBDNkE9RER/s2sW+du2IioiwdTnNmk3vU/jll1/YsmULwcHB3HPPPZcNjri4OOLi4gBYuHAhXl5edWpPHgAuRNMWceoUG4GfevXiyaIiEk+etHVJVuPo6IhWq63z919N2SwURo0axfjx4wH48ssvWbNmDdOnT69226ioKKKioiyv6/qMUl9FQWJBiKZv9IEDjFSrWd6vH68eO0Z+C3gUql6vx2g0Nvgzmm02+qh169ao1WrUajUjRowgOTnZVqUIIZogrdnMrF27OGE08mj//tjb29u6pGbBZqFQcFGy7969mw4dOtiqFCFEE+ZeUsKynTs55O3Nzb162bqcJs8ql4+WLFlCQkICJSUlPPzww0yYMIH4+HhSU1NRqVR4e3vz0EMPWaMUIUQz1eX0aTacPs2v4eE8VVHBX/LM9DqxSijMmjXrkmXDhw+3RtNCiBZmVEICB1Qq3r/uOuafPEl2Ha/Bt1RyR7MQotnRKAqP7N7N8bIynhowAJ2Dg61LajIkFIQQzZZrWRmLduwgvnVrbu/Tx9blNAkSCkKIZi84K4uv9+5lS+fO9A4NtXU5jZqEghDCqgz+/nz2zDMM+fprDt5xB4pGY7W2hyQlsfvYMT7q04e2bdpYrd2mREJBCGEVBT168MYbb+D60UfcNXo0f3p60mv6dKJXryZz4ECr1aEG7tu7l2OFhbwwYABOTk5Wa7spkFAQQjQYRaUibfhw/rlqFR5LlvBc//5U/s+ZwX87dMBvwQJeiomhLCjIarW1Ki/n1R07SHJyYoo83MdCjoIQot6ZHRw4eMcdjPrsMwJefJH3O3e+6j6vRkbi9f77rH36aUxublao8rz2ubl8tns3O4KCGBgebrV2GysJBSFEvTG6u7Pxn/+k67p19Jo+nTg/v1rtr9dqmTJmDJ0+/ZRdd96JorXe9GzXJSezLSGBr667jsB27azWbmMjoSCEuGb6wEA+mTOHNmvXMmrSJI5eeHhWXaU6O9P/gQcYtWYN6TfcUD9F1tD43bs5mp3Na/374+riYtW2GwMJBSFEneX36sVrb74chRS/AAAea0lEQVSJy4cfMvXGG8mv55vE4vz88J83jyeXLqXUikNJHSoreX7nTpK0Wu677jo0VhwhZWsSCkKIWlHUalKjopj23nt4Ll7Mi9ddh6mBO2kXd++Ox4oVfPTccxg9PRu0rYv5FhTw0e7d7PH3Z1j37lZr15Zs+pAdIUTTYdbpODh2LE9FR7PJ19fq7VdqNEwbOZIXBw9m7VdfMfjzz1GXl1ul7V4pKfwOrI+I4JnCQo6npVmlXVuQMwUhxBUZPT35+ZFH6LxuHb0fftgmgXCxM46ODL3nHoauWcPJUaOs2nb04cPEnz7N2/364d66tVXbtpYah8Inn3xCampqA5YihGhMyoKC+Oi55/D6/HNGT5jAiUbW6fqnjw8d587lkZUrKerWzWrt2plMPLlrF8fNZh7p1w87OzurtW0NNb58ZDKZWLBgAa6urgwZMoQhQ4bgacVre0II68jr3ZvlEyfyau/eDd5XUB9WdenCe0uXsmzLFh5cuRL7rCyrtOtZXMyKXbt4tH17nvTy4ueDB63SbkNTKYqi1HRjs9nMgQMH2Lp1K/v37yckJITrr7+efv36odPpGrLOKs6cOVOn/XyjolAnJtZzNUI0fYpaTUpUFC/fcQdrOnWydTl15mUw8Pn69Yz45BPUBoNV2/65a1ee1OtJOHmyQd5/xowZLF68uMGf0VyrULhYeno6S5cuJS0tDXt7ewYNGsSECRPw8PCoy9vVioSCEPXD7OjI/uhonoyOZouPj63LqTeR+fl89vHHdN6wAVXdvuLqxKRSsapvX15OTiYnL69e39taoVCr0UdlZWXs3LmTrVu3curUKfr168e0adPw8vJiw4YNvP7667z99tt1KlgIYT2VXl5snDCBx266iZONrK+gPuz38CBs9mzuGjuWJStW4Ll/v1Xa1SgKM3bv5q5WrXh5wABW7NtHeUWFVdquLzUOhZiYGA4dOkRYWBgjR46kb9++VTpY7rnnHqZOndoQNQoh6klZx458PmkSs4cOpaSZdZBW59OOHfk0Joa3duxgZmwsDqdPW6Vdt3PnWLxjB9P9/Hi6bVvW79tnlXbrQ41DISQkhGnTptH6MsOw1Go1H3zwQb0VJoSoPzl9+7J00iQW9OqFolLZuhyre2bAABb07s2aH37g5o8+QlNaapV2O509y7dnz7KpSxeeNJs5cOyYVdq9FjUOhdtuu+2q2zjIc1CFaDQUjYbkUaN4deJE1gQE2Locmyuyt2fsP/5B12HDWPvpp3T79ltUZrNV2h529Ch7gdV9+vBSWhpnsrOt0m5dNP7xZkKIWjE7ObF7yhSGrF1LyDPPSCD8j/jWrYl49FHGf/QR2f37W61dNTBt716SiouZO2AAjo6OVmu7NiQUhGgmKr29+f6xxwhet45+Dz7INm9vW5fUqH0TEECbN95g/qJF6AMDrdaus8HA6zt2cNTZmUl9+6JqZJfzJBSEaOLOhYSw6qWXcP/8c24bN45TrVrZuqQm5eU+ffD84APWPfkkpmuc8rs2/HNyWLtnD9s6daJfWJjV2r0amRBPiCYqu39/3pkwgTd79myRncf1Sa/VMvGWWwgeOpRvvv6aiM8/R2U0WqXtAcePsxP4LDKS5zIzSavjfVj1Rc4UhGhCFK2W42PGMOmjj2jzxhssbKGjiRrKSRcXet53H2M++YTT119v1bbv3L+fpNxcXh4wAGcbnu1JKAjRBJhbtWLH3XczYO1aQp9+mi+t+ID7lujntm1p//LLPPPuu5wLCbFau7qKCl7asYNjDg7ca6OH+0goCNGIVbRpw/rHHyfoyy8ZeP/97PLysnVJLcqiiAjcV67kk7lzMVphCp+/+eXn8/Hu3ez292eoFWeABelTEJehqFQo7u6oCgqsOneMOK80NJRPJk/m2cGDOWfFh9dbk71KRUUT+G+rUqNh6qhRvDB4MF+sW8fAtWtRWWnqisiUFP4A/tOzJ6ecna3SZvP8r03UmrlVK3IiIvire3c2hofzRadOpLVqhUtlJb0KCuiWm0vn3FyCcnNpl52NT1YWbpmZOJ09i6aoyNblNxuZAwaweOJEFvXoYetSGoyHSs1D2+0Z/mY522fo+CLKxFFVpa3LuqoMJycGT53K0NGj+fjDDwncuNFqbd9+8CAlgwZZpa06z5JqSzJL6rUztG/PqZ492d21K9916cJ/O3Sgso7XL330enoWFtItN5fQ3FwCs7Npl52NV1YWrpmZ6M6eRV1WVs+foPlQtFqSRo/m+dtv55tmfKOZPSomp+m4Y66BVmeqfu0cvs+BdRNhm4N1Hq9ZH6YnJPDGihW4xsdbpb2SGTNwaMxTZ9uShELtKPb2FISHkxgRwR9du/JlSAh/ubtbtYaAc+fomZdH17w8OuXmEpCdjV92Np5ZWbhkZuKQmWm15+02FiYXF3aOG8esW29lbzN/YFXUOR0PvGKkze4rD/NMi9Lyn0e0/ORhoPGfO4DGbCZ282buX7kSu5ycBm1LQuEKJBSurNLLi9M9e7K/Wzd+6NKFr4KDG/2MmCpFoXNJCT3y8gjPzaVjbi7+OTn4ZmXhkZWFc2Ym9llZVhs73pAq/PzYMHEij40axZlGOtVBfQk32zHjIxXhn9XuGnxBmIbvn7HnP0HlFCvWmZ/oWvjo9Xz+7bcMW7OmwX7cSChcgYTC/1PUakpDQjjRowd/hofzny5d2Nymja3LahB2JhNdi4uJLCwkJCuLjrm5dLjQv+GelYXz2bNoc3Iabcd4SVgYqydNYs7Ageibaefx37xVGh7ZZMfQ1wyoTXV/H72Pirg5Or6IrOCMcg1vZCV98/L47KOPCPnxx3p/72YVCitWrGD//v24ubkRExMDQGlpKe+88w45OTl4e3vzxBNP4FzD3vWWHAomFxeyIyI43L07v4aF8UVISLP/tVkbjkYjPQsKiMjLo0tuLsE5ObTLzsY7K4vWWVk4nT2LtqDAqjWdHTyYRRMm8E737lZt1xYcVCruPqFj3LN6HOvxwWMme9gxW8cXI03Eqxv/haWpx4+zODYW90OH6u09m1UoJCQkoNPpiI2NtYTCp59+irOzM9HR0axfv57S0lLuuuuuGr1fSwoFfUAAqT16sLNbN77r3JkN7ds3iYepN2Ye5eX0zM+ne34+oTk5BF4UHK5ZWTiePYumpOSa2lDs7EgcM4bnxo3jO3//eqq8cRtTpOO+eZV4HWrYX/RH7rZn3RQVW3WNuw9KpSjEbN/O9BUrcKiHqSusFQpWOYcNDw8n+3/mD9+zZw/z588HYOjQocyfP7/GodBcmR0cKOjalYQePfg9LIwvOnfmqBUn6Gop8h0c+N3Pj9/9/C67TVu9nl4XOsZDcnMJyMmhbVYWntnZuJ49e35EVTUPhje5urL99tuZeeutHLRyZ76t9DDZM2MFhHxz6fFoCN3+XUG3f0PGcC3/ma7lR89yKmh8lwwVlYrZgwbxSt++fPrf/zJ69eomMQrPZhc2i4qKcL/wR+Pu7k5xcbGtSrGZSm9vMnr25FCvXqzv1Imvg4Ka7Y1KTc0ZR0fOtG/PD+3bX3ab4JISeubnnx9RlZODxt6epwYMIFOns2KlttNWpeGRn+0Y9KYBlQ2+k9v/buTx343cE6Zmw9M6vg5unJ3Shfb23DJ+PN1HjGDtmjWEf/ddo+33giZy81pcXBxxcXEALFy4EK863upvy3nLFY2GsvBwTvTsydbwcL4ICWFbMx+G2NyddHHhpItLs763oDqt1GoeOObMzU+VYFdknbODK3FPNHP3/Xru8FKx5QVXPos0kGayzh3HtfGXuzvdHn+cyePGEbtyJe47dtRqfydHR1RabZ2//2rKZqHg5uZGQUEB7u7uFBQU4HqFyyRRUVFERUVZXtf1mpqvomCtWDC5upLZoweHunfnl7AwvujYkWzpEBZNmAoYm6fjnhcrcE9sfGf2ulyFUbOKGWEHux7XsXa0mSPqxhcOazt0YO3rr/Pa7t08GRuLLi2tRvuV6fU4GI3No0+hOn369GHz5s1ER0ezefNm+vbta6tS6kVZYCApPXuys2tXvu3ShR/btZMpjUWz0bfSnunvKAT+ZPszg6vRVMLAtw0MfBsSptiz7i4VWxzLG12vwwvXXccbkZF88uOPRH/4IZpGcgndKqOPlixZQkJCAiUlJbi5uTFhwgT69u3LO++8Q25uLl5eXsyePbvJDEk163Tkd+tGfEQEv4WHszY0lBMuLtf8vkI0Nv5omfGdluuWNP4wuJLTQ+345lENP3iV0/jiAUJLSlj72Wf0+vprVKbqR281qyGp9c3aoVDh60t6z57s6daNDV268E1AQLO/+Ui0bC4qNdMOOjDmBT12pbaupv4Uhqj54RkHvg4pp7ARdkrfmpHBe++9h9+ff16yrlkNSW1KFK2W4i5dSIqIYEvXrnzZuXOzn5dGiL9pgPFZjtw5txyXFL2ty6l3rY+bufNBPbe7w6Y5jqztV0m60nimTvm+fXu+f/VV5hw8yIvLl+OUnGz1Glp8KBhbtyazRw8Odu/Oz2FhfBkcTG4LGVIoxMUGlzvwz7dMtP+9+YXB/9IVwOhn9Yyygz2P6vjiZjOHNI2nU3phz5688957/GvjRia9/75V78JvWZePRo1CbzBwskcPtl/oEP7Vz086hEWL1hE7Hl2rpuf7jfsO4YZ2dJI96+5W8YdT4+p1CDh3jrVffkmYhwdOb70lfQrVqWsoTEpOZutlOnGEaGlaq9Q8tMuBUS/qaUQ/km0ue4gDXz2q4vs25ZQ3oq/HJ1xdWditm/Qp1Kdce3vQN/9TYyGuxA6YlOHIxDkGWp2Wv4f/5bO1nBlb4e5gNT/O0bEutJyCRtApXVHHh2DVVosKBSFauuFlOh54zYjfDgmDq3E9aWbSQ3r+0Rr+eEbHFwOMpNJ4OqUbioSCEC1AF8WORz9W03VN077fwBYcCuHG5wyM1MDeR3WsvdXMwWZ8vU1CQYhmzFulYcZ2J4a8WHJND7sRoDbBde8auO5dSBpvz9f3qvjduRzbX1iqXxIKQjRDDqi466SO8XMM6HKu7dkQ4lKdv67g+a9hWj8t62fZ8Z2fAUMj6pS+FhIKQjQzo4t13De/Eu8D0m/Q0Hx3GXl4spE7A9T8NFfHui7l5DWCTulrIaEgRDMRYbJn+iro/LX0G1ibyykzEx7WE+0Km5/RsXaQkZQm2iktoSAu4aBS4ado0Km1HDMbmt010+bGV6XhkV/tGPKGbR52I/6ffTGMfMHACA3se8SBL8cq7NM2rU5pCYUWxg5oo9LiW6HG95wanwIV3lkK3ukKnifNeCaacDllBoyAkTJfFSfG2JPQT81fAWYO6yoobSbXTps6R5WKqUd1jJ2jx6FQepEbE7UJ+i4vp+9yOBFtz1f3q4lzaRo/sFrUHc1R6ekkNuOb19SAj0qDr1GD7zk1bQpVeGcreJ8GzxQzHkeNuJ0wX9MoFLMG0odpSRqm5UgYHHI3ktZET5ObKhVwW76Oe1+oxD1RwqCpyO6rZf0TWta3LUdfh6/dGe7uLA4Lkzuaxf/zVKnxNWnw1WtoUwTeuSq8Tyt4pZrxTDLhnmhCU2ECGu6LQm2CgDgjAXFGRl1YVtRJTdJoOxJ7qznczkS8trJRzlnfHPQx2vPwUoWO30u/QVPjs8fIQ1OMTO6g4ue5jqwLryBXaXyhLqHQSLiq1PiZNfga1LQpVuGTq8L77IUv/ONm3BON2JeYATNQaetyq3A7Yea6ZeVcd+F1pTOkjLLn6GANR0LMHHQxktMI/+NvStqrtMz4r5b+iyUMmjqXdIU7puuJdobNT+v44noTyY3ob1pCwQqcVCr8FC2+5WralKjwyb/whZ+m4HXcjEeiEV3u31/4TZ9dKYR+U0HoN3DbhWXZvbUkjdISH6HisI+RY+rKBjyfaT6cVSqmHdZx83N67ErlMl1zYlcKUfMMjFDBgYcd+OIfCnvsbN8pLaFwjexR4YsG30o1bUrVtClQ4Z2p4J2m4JlswjPRRKvTCo3t1721+ewz4rPPyJALrw3eKk6Mtiehv5ojQWYOOVZS3MTHd9cnNTAuW8fdcytwPdl8+8EEqBSIXFlO5EpIvtWO/zyg4VdXg81+NElH8xVogDYqDb6V5ztufQpVeGeDd4aC50kTnkdNuCabZRhgPTBr4Mz1Wo4OsyO+q8JBj5Yx+Vh1BpY78M+3TfjHtczPLyAnUsv62Xasb2+g7MJXtHQ0NzAV4KXS4GfU0EZ/fqSOTw54nTbjlaLgmWTC7ZgJTWXDdtyK89QmaL/JSPtNRqIuLCsJUpM0xo6E3mr+am/iL/vKRjW/fX0LQsuj6zRErmzZD7sR4L3fyIN3GZnSTsUvcxz5orv1Liu1qDOFH/6di+lgKZ7HzLgfNaItq+fCRIMy6uDUjfacGO7AgaBKDrpWktUMOrDdVGoe2u3AqJf0aKUfWVTD6ASVb3ky4sHOcqZQnyI+0aNPtH1HjqgbrQE6fldBx+8quPHCstwIDUk32ZHQAw75mjjahDqwtcCE045MnmPAOUP6DcTlacvAO9E6fW4tKhRE8+N12ITXYRODLrw2uMPJMfYkDNTwV5CZQ06VFDXCDuwb9A489LoZvz8lDETjIqEgmhVdAYR/VkH4ZzAeUFRwZogdR4driO8Kh7zOT1Rmq2umoYodj65R0/1j6TcQjZOEgmjWVAq021JJuy2VjLiwrKSDiuNj7Enoq+Yv//Md2HWZdqA2PFVq/rnVnuGvGNC07NHJopGTUBAtjku6QuR75US+d/61yR5OjbTj6FAtR0IVDrWu5Ew9dWA7oGJKqo47njXgmC29yKLxk1AQLZ6mAoJ/qCT4h0rGXFiW11VD0k1aEnqpOexrIlFTUeu7JkaV6Jj2ihGfvdJvIJoOCQUhquEZb2JgvImBF16Xt4aTo+1JHKjmSLDCwVaVFFymA7ub2Z4ZH0CXL+TMQDQ9EgpC1IBDIYStrSBsLYy7sOzsAC1JUVqOdIfDXibKtPDgrxquXyAPuxFNl4SCEHXkt8OI3w4jN1RZKr3IomlT27oAIYQQjYeEghBCCAsJBSGEEBYSCkIIISxs3tE8Y8YMdDodarUajUbDwoULbV2SEEK0WDYPBYB58+bh6upq6zKEEKLFk8tHQgghLBrFmcKCBQsAGDlyJFFRUVfZWgghREOxeSi8+uqreHh4UFRUxGuvvUbbtm0JDw+vsk1cXBxxcXEALFy4EC8vrzq1laHKuOZ6hRDCFpwcndBqtXX+/qspm4eCh4cHAG5ubvTt25cTJ05cEgpRUVFVziDq+ji6JvjkUSGEAKBMX4bRaGzwx3HatE/BYDCg1+st/3748GH8/f1tWZIQQrRoNj1TKCoq4u233wbAZDIxePBgevbsacuShBCiRbNpKLRp04ZFixbZsgQhhBAXkSGpQgghLCQUhBBCWEgoCCGEsJBQEEIIYSGhIIQQwkJCQQghhIWEghBCCAsJBSGEEBYSCkIIISwkFIQQQlhIKAghhLCQUBBCCGEhoSCEEMJCQkEIIYSFhIIQQggLCQUhhBAWEgpCCCEsJBSEEEJYSCgIIYSwkFAQQghhIaEghBDCQkJBCCGEhYSCEEIICwkFIYQQFhIKQgghLCQUhBBCWEgoCCGEsJBQEEIIYSGhIIQQwkJCQQghhIWEghBCCAsJBSGEEBYSCkIIISwkFIQQQlhIKAghhLDQ2rqAgwcPsnr1asxmMyNGjCA6OtrWJQkhRItl0zMFs9nMhx9+yHPPPcc777zDtm3byMjIsGVJQgjRotn0TOHEiRP4+vrSpk0bAAYOHMiePXto3759g7TnFO6EWWtukPe+FlqtFqPRaOsyLiF11Y7UVTtSV+1o/azzdW3TUMjPz8fT09Py2tPTk+PHj1+yXVxcHHFxcQAsXLiQtm3b1qm9tl/XbT8hhGgs6vr9V1M2vXykKMoly1Qq1SXLoqKiWLhwIQsXLrym9ubMmXNN+zcUqat2pK7akbpqp7HWBdapzaah4OnpSV5enuV1Xl4e7u7uNqxICCFaNpuGQseOHTl79izZ2dkYjUa2b99Onz59bFmSEEK0aJr58+fPt1XjarUaX19fli1bxs8//8yQIUPo379/g7YZHBzcoO9fV1JX7UhdtSN11U5jrQsavjaVUt2FfSGEEC2S3NEshBDCQkJBCCGEhc2nuahvK1asYP/+/bi5uRETE3PJekVRWL16NQcOHMDBwYHp06db5frh1eqKj4/nrbfewsfHB4B+/foxfvz4Bq8rNzeX2NhYCgsLUalUREVFMWbMmCrb2OKY1aQuWxyziooK5s2bh9FoxGQy0b9/fyZMmFBlm8rKSpYvX87JkydxcXFh1qxZlhptWdcff/zBv//9bzw8PAC46aabGDFiRIPW9Tez2cycOXPw8PC4ZFilLY5XTeqy1fGaMWMGOp0OtVqNRqO5ZCh+g/89Ks1MfHy8kpycrMyePbva9fv27VMWLFigmM1mJSkpSZk7d26jqOvIkSPKG2+8YZVaLpafn68kJycriqIoZWVlysyZM5X09PQq29jimNWkLlscM7PZrOj1ekVRFKWyslKZO3eukpSUVGWbn3/+WXnvvfcURVGUP//8U1m8eHGjqGvTpk3Kv/71rwavpTrff/+9smTJkmr//7LF8apJXbY6XtOnT1eKioouu76h/x6b3eWj8PBwnJ2dL7t+7969XH/99ahUKkJDQzl37hwFBQU2r8tW3N3dLb8yHB0dadeuHfn5+VW2scUxq0ldtqBSqdDpdACYTCZMJtMlN1zu3buXG264AYD+/ftz5MiRam/UtHZdtpKXl8f+/fsv+yvbFserJnU1Vg3999jsLh9dTX5+Pl5eXpbXnp6e5OfnN4qb5o4dO8bTTz+Nu7s7d999Nx06dLBq+9nZ2aSkpNCpU6cqy219zC5XF9jmmJnNZp599lkyMzO58cYbCQkJqbL+4ulbNBoNTk5OlJSU4OrqatO6AHbt2kViYiJ+fn7ce++9Vf5/bSgff/wxd911F3q9vtr1tjpeV6sLbHO8ABYsWADAyJEjiYqKqrKuof8eW1woVPcLpDH8ogoKCmLFihXodDr279/PokWLWLp0qdXaNxgMxMTEMHXqVJycnKqss+Uxu1JdtjpmarWaRYsWce7cOd5++23S0tLw9/e3rLfV8bpaXb1792bQoEHY2dnx66+/Ehsby7x58xq0pn379uHm5kZwcDDx8fHVbmOL41WTumxxvABeffVVPDw8KCoq4rXXXqNt27aEh4db1jf08Wp2l4+uxtPTk9zcXMvrxjK1hpOTk+X0PzIyEpPJRHFxsVXaNhqNxMTEMGTIEPr163fJelsds6vVZctjBtCqVSvCw8M5ePBgleUXT99iMpkoKyuz6qXDy9Xl4uKCnZ0dcH4+sZMnTzZ4LUlJSezdu5cZM2awZMkSjhw5cklw2+J41aQuWxwvwNKx7ebmRt++fTlx4kSV9Q3999jiQqFPnz5s2bIFRVE4duwYTk5OjSIUCgsLLb8ATpw4gdlsxsXFpcHbVRSFVatW0a5dO2655ZZqt7HFMatJXbY4ZsXFxZw7dw44P+Lnr7/+ol27dlW26d27N3/88QcAO3fupGvXrg3+y7cmdV183Xnv3r0NNkX9xaZMmcKqVauIjY1l1qxZdOvWjZkzZ1bZxhbHqyZ12eJ4GQwGy+Usg8HA4cOHq5ztQcP/PTa7y0dLliwhISGBkpISHn74YSZMmGCZG33UqFH06tWL/fv3M3PmTOzt7Zk+fXqjqGvnzp38+uuvaDQa7O3tmTVrllUuOSQlJbFlyxb8/f15+umnAZg8ebLll4itjllN6rLFMSsoKCA2Nhaz2YyiKAwYMIDevXvz5Zdf0rFjR/r06cPw4cNZvnw5jz32GM7OzsyaNatBa6ppXT/99BN79+5Fo9Hg7Oxstf/2q2Pr41WTumxxvIqKinj77beB82dNgwcPpmfPnvz666+Adf4eZZoLIYQQFi3u8pEQQojLk1AQQghhIaEghBDCQkJBCCGEhYSCEEIICwkFIYQQFhIKQgghLCQUhBBCWEgoCHENMjMzue+++yzz4uTn5zNt2rTLTrImRGMnoSDENfD19eXOO+9k2bJllJeXs3LlSoYOHUrXrl1tXZoQdSLTXAhRD958802ys7NRqVS88cYbltk1hWhq5ExBiHowYsQI0tPTuemmmyQQRJMmoSDENTIYDHzyyScMHz6cr776itLSUluXJESdSSgIcY1Wr15NUFAQDz/8MJGRkbz//vu2LkmIOpNQEOIa7Nmzh4MHD/LQQw8BcO+995KSksLWrVttXJkQdSMdzUIIISzkTEEIIYSFhIIQQggLCQUhhBAWEgpCCCEsJBSEEEJYSCgIIYSwkFAQQghhIaEghBDC4v8AGchTLQbptIUAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "days = [1,2,3,4,5]\n",
    "\n",
    "sleeping =[7,8,6,11,7]\n",
    "eating = [2,3,4,3,2]\n",
    "working =[7,8,7,2,2]\n",
    "playing = [8,5,7,8,13]\n",
    "\n",
    "#如果没有下部分代码就会没有图例显示\n",
    "plt.plot([],[],color='m', label='Sleeping', linewidth=5)\n",
    "plt.plot([],[],color='c', label='Eating', linewidth=5)\n",
    "plt.plot([],[],color='r', label='Working', linewidth=5)\n",
    "plt.plot([],[],color='k', label='Playing', linewidth=5)\n",
    "\n",
    "plt.stackplot(days, sleeping,eating,working,playing, colors=['m','c','r','k'])\n",
    "\n",
    "plt.xlabel('x')\n",
    "plt.ylabel('y')\n",
    "plt.title('Stack Plot')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "slices = [7,2,2,13]\n",
    "activities = ['sleeping','eating','working','playing']\n",
    "cols = ['c','m','r','b']\n",
    "\n",
    "plt.pie(slices,#数据\n",
    "  labels=activities,\n",
    "  colors=cols,\n",
    "  startangle=90,#起始角度，0，表示从0开始逆时针转，为第一块。一般选择从90度开始比较好看\n",
    "  shadow= True,\n",
    "  explode=(0,0.1,0,0),#突出\n",
    "  autopct='%1.1f%%')#圆里面的文本格式\n",
    "\n",
    "plt.axis('equal')#饼图画成正圆形\n",
    "plt.title('Pie Plot')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def f(t):\n",
    "    return np.exp(-t) * np.cos(2*np.pi*t)\n",
    "t1 = np.arange(0.0, 5.0, 0.1)\n",
    "\n",
    "t2 = np.arange(0.0, 5.0, 0.02)\n",
    "plt.subplot(2,2,1)\n",
    "plt.plot(t1, f(t1), 'bo', t2, f(t2))\n",
    "plt.subplot(2,2,4)\n",
    "plt.plot(t2, np.cos(2*np.pi*t2))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
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